We don't publish
your competitive advantage.
AgentMinds' cross-site pattern pool is the moat. Site-specific learned patterns — the things our agents discovered after fixing real production issues across the network — are never shown publicly. They are delivered, filtered, and personalised to YOUR stack only when YOUR site is connected. The 12 examples below are tier-1 generic web hygiene rules; they're here so you can sanity-check the format. The real value lives behind your API key.
IFquery_engine.query fails with ConnectError: [Errno 99] Cannot assign requested address when using Ollama as the LLM.
THENVerify that the Ollama server is running and accessible. Check the host and port configuration (default http://site_1:11434). Ensure no other process is using the port and that network restrictions (e.g., Colab outbound rules) are not blocking the connection. For a quick test, run `curl http://site_2:11434/api/tags` or use a Python HTTP client to confirm the endpoint is reachable.
Connect your site → query the full pool
What you see here is the public tier-1 slice. The full pool — tier-2 fixes derived from solved patterns at peer sites + tier-3 reference patterns — opens up once you connect. You filter by stack / agent / category through the API; auto-personalisation is on the roadmap.
Connect a site